Robust adaptive FTC allocation for over-actuated systems with uncertainties and unknown actuator non-linearity - Zhi, Jianhui; Chen, Yong; Dong, Xinmin; Liu, Zongcheng; Shi, Chao (IET control theory & applications, 2018)
Keywords: actuators; adaptive control; approximation error elimination; approximation theory; closed loop systems; closed‐loop system; control nonlinearities; control system synthesis; fault tolerant control; fault‐tolerant capability; FTC problem; individual actuators; linear term; Lyapunov methods; Lyapunov stability theorem; matched disturbance; neurocontrollers; nonlinear control systems; nonlinear term; over‐actuated systems; radial basis function networks; radial basis function neural network; RBFNN; Research Article; robust adaptive fault‐tolerant control allocation method; robust adaptive FTC allocation method; robust control; robust term; stability; uncertain systems; unknown actuator nonlinearity; unmodelled dynamics; virtual control law design; weighted pseudo‐inverse control allocation; approximation error elimination; radial basis function neural network; weighted pseudo-inverse control allocation; fault-tolerant capability; FTC problem; virtual control law design; linear term; individual actuators; nonlinear term; actuators; neurocontrollers; control nonlinearities; radial basis function networks; matched disturbance; robust term; robust control; stability; unknown actuator nonlinearity; approximation theory; uncertain systems; over-actuated systems; robust adaptive FTC allocation method; adaptive control; control system synthesis; Lyapunov stability theorem; closed loop systems; RBFNN; nonlinear control systems; unmodelled dynamics; closed-loop system; fault tolerant control; Lyapunov methods; robust adaptive fault-tolerant control allocation method